Using IPW with external borrowing

Usage

EC_IPW_OPT(
  data,
  outcome_col_name,
  trial_status_col_name,
  treatment_col_name,
  covariates_col_name,
  model_form_piS = "",
  optimal_weight_flag = FALSE,
  wt = 0,
  Bootstrap = FALSE,
  R = 500,
  bootstrap_CI_type = "bca",
  alpha = 0.05,
  quiet = TRUE
)

Arguments

data: A data frame containing all subject-level data.
outcome_col_name: Character vector of outcome column names.
trial_status_col_name: Name of the trial status column.
treatment_col_name: Name of the treatment column.
covariates_col_name: Character vector of covariate column names.
model_form_piS: Formula string for the trial participation model.
optimal_weight_flag: Logical. Whether to use the optimal borrowing weight.
wt: Numeric fixed borrowing weight.
Bootstrap: Logical. Whether to use bootstrap inference.
R: Number of bootstrap replicates.
bootstrap_CI_type: Type of bootstrap CI (e.g. "bca", "perc").
alpha: Significance level.
quiet: Logical. If TRUE, suppress printed output.

Value

a list containing: tau (effect size), sd.tau (standard deviation), wt (weight)

Examples

if (FALSE) { # \dontrun{
EC_IPW_OPT(
  data = data,
  outcome_col_name = outcome_col_name,
  trial_status_col_name = trial_status_col_name,
  treatment_col_name = treatment_col_name,
  covariates_col_name = covariates_col_name,
  model_form_piS = model_form_piS,
  wt = wt,
  optimal_weight_flag = optimal_weight_flag,
  Bootstrap, R, bootstrap_CI_type
)
} # }